Computer Vision Group, Albert-Ludwigs-Universität Freiburg

deeptam

DeepTAM: Deep Tracking and Mapping https://lmb.informatik.uni-freiburg.de/people/zhouh/deeptam/

demon

DeMoN: Depth and Motion Network

flownet2

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

flownet2-docker

Dockerfile and runscripts for FlowNet 2.0 (estimation of optical flow)

freihand

A dataset for estimation of hand pose and shape from single color images.

hand3d

Network estimating 3D Handpose from single color images

mv3d

Multi-view 3D Models from Single Images with a Convolutional Network

netdef_models

Repository for different network models related to flow/disparity (ECCV 18)

ogn

Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs

rgbd-pose3d

3D Human Pose Estimation in RGBD Images for Robotic Task Learning

lmb-freiburg/flownet2

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

lmb-freiburg/hand3d

Network estimating 3D Handpose from single color images

lmb-freiburg/deeptam

DeepTAM: Deep Tracking and Mapping https://lmb.informatik.uni-freiburg.de/people/zhouh/deeptam/

lmb-freiburg/mv3d

Multi-view 3D Models from Single Images with a Convolutional Network

lmb-freiburg/rgbd-pose3d

3D Human Pose Estimation in RGBD Images for Robotic Task Learning

lmb-freiburg/flownet2-docker

Dockerfile and runscripts for FlowNet 2.0 (estimation of optical flow)

lmb-freiburg/netdef_models

Repository for different network models related to flow/disparity (ECCV 18)

lmb-freiburg/ogn

Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs

lmb-freiburg/orion

ORION: Orientation-boosted Voxel Nets for 3D Object Recognition

lmb-freiburg/dispnet-flownet-docker

Dockerfile and runscripts for DispNet and FlowNet1 (estimation of disparity and optical flow)

lmb-freiburg/lmbspecialops

A collection of tensorflow ops

lmb-freiburg/flow_rl

lmb-freiburg/optical-flow-2d-data-generation

Caffe(v1)-compatible codebase to generate optical flow training data on-the-fly; used for the IJCV 2018 paper "What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?" (http://dx.doi.org/10.1007/s11263-018-1082-6)

lmb-freiburg/td-or-not-td

Code for the paper "TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning", Artemij Amiranashvili, Alexey Dosovitskiy, Vladlen Koltun and Thomas Brox, ICLR 2018

lmb-freiburg/PreFAct

Code and Models for the paper "Learning Representations for Predicting Future Activities"

lmb-freiburg/ROS-packages

A collection of ROS packages for LMB software; DispNet(1+3), FlowNet2, etc.

lmb-freiburg/tfutils

tfutils is a set of tools for training networks with tensorflow

lmb-freiburg/iRoCS-Toolbox

n-D Image Analysis libraries and tools

lmb-freiburg/netdef_slim

A python wrapper for tf to ease creation of network definitions.